Fredrik Kjolstad
Fredrik Kjolstad
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The tensor algebra compiler
F Kjolstad, S Kamil, S Chou, D Lugato, S Amarasinghe
Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-29, 2017
Ghost cell pattern
FB Kjolstad, M Snir
Proceedings of the 2010 Workshop on Parallel Programming Patterns, 1-9, 2010
Transformation for class immutability
F Kjolstad, D Dig, G Acevedo, M Snir
Software Engineering (ICSE), 2011 33rd International Conference on, 61-70, 2011
Simit: A language for physical simulation
F Kjolstad, S Kamil, J Ragan-Kelley, DIW Levin, S Sueda, D Chen, ...
ACM Transactions on Graphics (TOG) 35 (2), 1-21, 2016
MPI datatype processing using runtime compilation
T Schneider, F Kjolstad, T Hoefler
Proceedings of the 20th European MPI Users' Group Meeting, 19-24, 2013
Automatic datatype generation and optimization
F Kjolstad, T Hoefler, M Snir
Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of …, 2012
Format abstraction for sparse tensor algebra compilers
S Chou, F Kjolstad, S Amarasinghe
Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-30, 2018
Bringing the HPC Programmer’s IDE into the 21st Century through Refactoring
F Kjolstad, D Dig, M Snir
SPLASH 2010 Workshop on Concurrency for the Application Programmer (CAP’10 …, 2010
A transformation to convert packing code to compact datatypes for efficient zero-copy data transfer
F Kjolstad, T Hoefler, M Snir
Tensor algebra compilation with workspaces
F Kjolstad, P Ahrens, S Kamil, S Amarasinghe
2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019
Taco: A tool to generate tensor algebra kernels
F Kjolstad, S Chou, D Lugato, S Kamil, S Amarasinghe
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
Perspectives: Why New Programming Languages for Simulation?
GL Bernstein, F Kjolstad
ACM Transactions on Graphics (TOG) 35 (2), 1-3, 2016
Taco: Compilation et génération de code dexpressions tensorielles
D Lugato, F Kjolstad, S Chou, S Amarasinghe, S Kamil
AVANC EES, 52, 2018
Automatic Generation of Efficient Sparse Tensor Format Conversion Routines
S Chou, F Kjolstad, S Amarasinghe
arXiv preprint arXiv:2001.02609, 2020
A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra
R Senanayake, F Kjolstad, C Hong, S Kamil, S Amarasinghe
arXiv preprint arXiv:2001.00532, 2019
Refactoring transformations for maintainable, scalable and efficient parallelism
FB Kjolstad
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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